| SeeDB: efficient data-driven visualization recommendations to support visual analytics M Vartak, S Rahman, S Madden, A Parameswaran, N Polyzotis Proceedings of the VLDB Endowment 8 (13), 2182-2193, 2015 | 390* | 2015 |
| Human-llm collaborative annotation through effective verification of llm labels X Wang, H Kim, S Rahman, K Mitra, Z Miao Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems …, 2024 | 200 | 2024 |
| I've seen" enough" incrementally improving visualizations to support rapid decision making S Rahman, M Aliakbarpour, HK Kong, E Blais, K Karahalios, ... Proceedings of the VLDB Endowment 10 (11), 1262-1273, 2017 | 93 | 2017 |
| MEGAnno+: A Human-LLM Collaborative Annotation System H Kim, K Mitra, RL Chen, S Rahman, D Zhang Proceedings of the 18th Conference of the European Chapter of the …, 2024 | 70 | 2024 |
| Benchmarking Spreadsheet Systems S Rahman, K Mack, M Bendre, R Zhang, K Karahalios, A Parameswaran Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 26 | 2020 |
| Characterizing practices, limitations, and opportunities related to text information extraction workflows: A human-in-the-loop perspective S Rahman, E Kandogan Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 24 | 2022 |
| Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions P Pezeshkpour, E Kandogan, N Bhutani, S Rahman, T Mitchell, ... Compound AI Systems Workshop at Data+AI Summit 2024, 2024 | 18 | 2024 |
| Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks A Mishra, S Rahman, H Kim, K Mitra, E Hruschka Findings of the Association for Computational Linguistics: ACL 2024, 2023 | 18 | 2023 |
| Low-resource interactive active labeling for fine-tuning language models S Maekawa, D Zhang, H Kim, S Rahman, E Hruschka Findings of the association for computational linguistics: EMNLP 2022, 3230-3242, 2022 | 18 | 2022 |
| Cypherbench: Towards precise retrieval over full-scale modern knowledge graphs in the llm era Y Feng, S Papicchio, S Rahman Proceedings of the 63rd Annual Meeting of the Association for Computational …, 2025 | 17 | 2025 |
| NOAH: interactive spreadsheet exploration with dynamic hierarchical overviews S Rahman, M Bendre, Y Liu, S Zhu, Z Su, K Karahalios, ... Proceedings of the VLDB Endowment 14 (6), 970-983, 2021 | 17* | 2021 |
| Mixtape: Mixed-initiative team action plan creation through semi-structured notes, automatic task generation, and task classification S Rahman, P Siangliulue, A Marcus Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-26, 2020 | 16 | 2020 |
| Faster, higher, stronger: Redesigning spreadsheets for scale M Bendre, T Wattanawaroon, S Rahman, K Mack, Y Liu, S Zhu, Y Lu, ... 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1972-1975, 2019 | 12 | 2019 |
| CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems Y Feng, S Rahman, A Feng, V Chen, E Kandogan Proceedings of the Conference on Governance, Understanding and Integration …, 2024 | 8 | 2024 |
| Towards transparent, reusable, and customizable data science in computational notebooks F Choi, S Rahman, H Kim, D Zhang Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023 | 8 | 2023 |
| Demonstration of a multi-agent framework for text to sql applications with large language models C Shen, J Wang, S Rahman, E Kandogan Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 7 | 2024 |
| Leam: An Interactive System for In-situ Visual Text Analysis S Rahman, P Griggs, Ç Demiralp 11th Annual Conference on Innovative Data Systems Research (CIDR ’21), 2021 | 7 | 2021 |
| Weedle: Composable Dashboard for Data-Centric NLP in Computational Notebooks N Kwon, H Kim, S Rahman, D Zhang, E Hruschka Companion Proceedings of the ACM Web Conference 2023, 132-135, 2023 | 5 | 2023 |
| Understanding Data Analysis Workflows on Spreadsheets: Roadblocks and Opportunities P Yang, TC Cheng Proceedings of Workshop on Human-In-the-Loop Data Analytics (HILDA’20)., 2020 | 5 | 2020 |
| MageSQL: Enhancing In-context Learning for Text-to-SQL Applications with Large Language Models C Shen, J Wang, S Rahman, E Kandogan arXiv preprint arXiv:2504.02055, 2025 | 4 | 2025 |
Aditya ParameswaranAssociate Professor, EECS, UC BerkeleyVerified email at berkeley.edu
